{ "config": { "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224", "backend": { "name": "pytorch", "version": "2.4.1+cu124", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "image-classification", "library": "transformers", "model_type": "vit", "model": "google/vit-base-patch16-224", "processor": "google/vit-base-patch16-224", "device": "cuda", "device_ids": "0", "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": true, "device_map": null, "torch_dtype": null, "eval_mode": true, "to_bettertransformer": false, "low_cpu_mem_usage": null, "attn_implementation": null, "cache_implementation": null, "autocast_enabled": false, "autocast_dtype": null, "torch_compile": false, "torch_compile_target": "forward", "torch_compile_config": {}, "quantization_scheme": null, "quantization_config": {}, "deepspeed_inference": false, "deepspeed_inference_config": {}, "peft_type": null, "peft_config": {} }, "scenario": { "name": "training", "_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario", "max_steps": 5, "warmup_steps": 2, "dataset_shapes": { "dataset_size": 500, "sequence_length": 16, "num_choices": 1 }, "training_arguments": { "per_device_train_batch_size": 2, "gradient_accumulation_steps": 1, "output_dir": "./trainer_output", "evaluation_strategy": "no", "eval_strategy": "no", "save_strategy": "no", "do_train": true, "use_cpu": false, "max_steps": 5, "do_eval": false, "do_predict": false, "report_to": "none", "skip_memory_metrics": true, "ddp_find_unused_parameters": false }, "latency": true, "memory": true, "energy": true }, "launcher": { "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": true, "device_isolation_action": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7R32", "cpu_count": 16, "cpu_ram_mb": 66697.261056, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "NVIDIA A10G" ], "gpu_count": 1, "gpu_vram_mb": 24146608128, "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.45.2", "transformers_commit": null, "accelerate_version": "1.0.0", "accelerate_commit": null, "diffusers_version": "0.30.3", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": "0.13.0", "peft_commit": null }, "print_report": true, "log_report": true }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 1631.531008, "max_global_vram": 2618.81856, "max_process_vram": 0.0, "max_reserved": 1956.642816, "max_allocated": 1755.291648 }, "latency": { "unit": "s", "values": [ 0.33409637451171875, 0.040837120056152344, 0.03968716812133789, 0.03971993637084961, 0.03990323257446289 ], "count": 5, "total": 0.4942438316345215, "mean": 0.0988487663269043, "p50": 0.03990323257446289, "p90": 0.2167926727294922, "p95": 0.27544452362060545, "p99": 0.3223660043334961, "stdev": 0.11762455308589949, "stdev_": 118.99445734800724 }, "throughput": { "unit": "samples/s", "value": 101.16464141726205 }, "energy": { "unit": "kWh", "cpu": 1.1532404006249112e-05, "ram": 6.292317219890084e-06, "gpu": 2.280474046599968e-05, "total": 4.062946169213888e-05 }, "efficiency": { "unit": "samples/kWh", "value": 246126.81496429554 } }, "warmup": { "memory": { "unit": "MB", "max_ram": 1631.531008, "max_global_vram": 2618.81856, "max_process_vram": 0.0, "max_reserved": 1956.642816, "max_allocated": 1755.291648 }, "latency": { "unit": "s", "values": [ 0.33409637451171875, 0.040837120056152344 ], "count": 2, "total": 0.3749334945678711, "mean": 0.18746674728393556, "p50": 0.18746674728393556, "p90": 0.30477044906616213, "p95": 0.3194334117889404, "p99": 0.33116378196716306, "stdev": 0.14662962722778322, "stdev_": 78.21633935201278 }, "throughput": { "unit": "samples/s", "value": 21.33711742457255 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 1631.531008, "max_global_vram": 2618.81856, "max_process_vram": 0.0, "max_reserved": 1956.642816, "max_allocated": 1755.291648 }, "latency": { "unit": "s", "values": [ 0.03968716812133789, 0.03971993637084961, 0.03990323257446289 ], "count": 3, "total": 0.1193103370666504, "mean": 0.039770112355550134, "p50": 0.03971993637084961, "p90": 0.03986657333374023, "p95": 0.03988490295410156, "p99": 0.03989956665039063, "stdev": 9.507605396576358e-05, "stdev_": 0.23906408188081266 }, "throughput": { "unit": "samples/s", "value": 150.86706183676816 }, "energy": null, "efficiency": null } } }